A
licenseA
qualityC
maintenanceMCP server that converts file contents into compact, line-numbered PNG images for vision models to read, reducing token usage by roughly 7x for large files.
3
MIT
72,963 servers. Updated
Search Relevance ↓
Recent Usage ↓
Date Added ↓
Date Updated ↓
Weekly Downloads ↓
GitHub Stars ↓
Recent GitHub Stars ↓
Matching MCP tools:
Matching MCP Connectors:
actor.apify.nexgendata--developer-tools-mcp-server
io.agentage
dev.workers.steve-corbeil.nexgendata-mcp-proxy
com.humaux
"A simple memory MCP server with read/write tools and vector database search" matching MCP servers:
- FlicenseBqualityCmaintenanceA stdio MCP server that enables agents without native vision to ask an OpenAI-compatible vision model to describe, OCR, or extract structured data from images via a single tool.1
- Alicense-qualityBmaintenanceA persistent semantic memory layer for AI coding agents, enabling storage and retrieval of text with vector embeddings via MCP tools.MIT
- Alicense-qualityAmaintenanceProvides a read-only MCP server to access ChatGPT conversation history via a local browser process. Allows AI clients to list, get, and search conversations from the authenticated user's ChatGPT account.99MIT
- Flicense-qualityDmaintenanceThe MCP server provides tools for entity extraction, query refinement, and relevance checking to enhance RAG applications by integrating with OpenAI and Gemini.
- Flicense-qualityDmaintenanceAutomatically discovers database schema, performs data quality checks on tables and columns, and generates natural-language root cause analysis reports using Ollama LLM.
- FlicenseAqualityDmaintenanceMCP server for personal knowledge management providing AI-powered tools for semantic search, audio transcription, image generation, and PPT creation.7
- AlicenseAqualityBmaintenanceProvides five safe tools (calc, search, model_drift, compare_runs, grade_answer) for arithmetic, keyword search, model drift monitoring, eval comparison, and answer grading against sources, all implemented directly from the MCP spec with zero dependencies.5MIT
- AlicenseBqualityCmaintenanceA lightweight MCP server for image analysis using any OpenAI-compatible API endpoint, enabling AI agents to analyze images via a single tool.160MIT
- AlicenseBqualityBmaintenanceMinimal MCP server for Kimi-compatible image analysis, allowing local images to be sent as inline base64 to any compatible endpoint.1613MIT
- Alicense-qualityDmaintenanceMCP server for fal model discovery, execution, pricing, and local media processing, enabling AI model workflows via natural language.108MIT
- Alicense-qualityCmaintenanceEnables MCP clients like Cursor and Claude to remember user preferences and behaviors across conversations using vector search technology.16MIT
- Alicense-qualityCmaintenanceA generic MCP memory service that provides AI clients with long-term memory capabilities, including semantic search, categorization, and priority management. Supports both local JSON and cloud PostgreSQL storage.9AGPL 3.0
- Alicense-qualityDmaintenanceAn MCP server that gives AI agents persistent, forgetting memory with layered decay, semantic search via token overlap, and zero external dependencies.MIT
- Alicense-qualityCmaintenanceEnables AI-to-AI consultation for critical thinking and complex reasoning via OpenRouter, allowing one AI to delegate tasks to another AI model.10MIT
- Flicense-qualityCmaintenanceGenerate images from text prompts using StepFun-compatible APIs. Configurable endpoint, API key, and model with zero external dependencies.
- Flicense-qualityBmaintenanceA persistent, conflict-aware memory MCP server for AI coding assistants (Cursor, Claude Code).
- AlicenseAqualityCmaintenanceEnables AI assistants to perform Google searches with real, resolvable sources and transparent search terms.1391MIT
- AlicenseAqualityDmaintenanceEnables LLM agents to use associative memory with key/value graph-based retrieval, supporting multi-hop traversal and human-like associative leaps beyond embedding similarity.10MIT
- AlicenseAqualityCmaintenanceSmart memory for AI agents. Solves the Karpathy problem: memories decay, topics are frequency-weighted, one-time questions don't become obsessions. 7 tools. Zero deps.4162MIT